Satellit - Software Engineer AI / .Net H/F/X

Description de l'entreprise

Satellit is specialized in business transformation, digital transformation and Microsoft technologies. We've intentionally designed an organization that values people as much as great solutions. You'll find that the employees at Satellit are just the right combination of smart, discriminating and friendly. We have a company with a special culture that makes people happy-our employees, our clients, and the people who use our solutions. At Satellit, you'll find a diverse mix of bright employees who are often called the smartest people in the room. But don't worry. Things like that don't go to our head. There is always more to learn. Our culture didn't happen by accident, we create it by drawing on our executives' experience, we consistently analyse how we can make it better, and we make adjustments on regular basis. Satellit does not set out to be "yet another" IT service provider! Our target is to marshal experienced IT profiles to evolve as one in a common direction: boosting our clients' expertise through our top-rated employees and freelancers. By working at Satellit, sure, we'll pay you on a regular basis, but the benefits extend far beyond an electronic deposit in your bank account. We keep our team satisfied by offering them the chance to work on rewarding projects within a challenging environment. We also offer training opportunities to keep pace with the latest technologies and provide regular and personal follow-up during the different missions on the clients' site.

Description de la fonction

Software Engineer AI / .Net 
 
Job Overview
 
Design, implement, and maintain AI-powered applications for a European energy transmission operator, leveraging large language models, retrieval-augmented generation, multi-agent workflows, and cloud-native architectures to ensure reliable, secure, and scalable solutions."
 
Key Responsibilities

• Design and implement AI-powered applications using large language models, retrieval-augmented generation, and agentic workflow patterns.
• Build backend services, APIs, and integrations to support AI-centric solutions.
• Design and optimize retrieval pipelines, including embeddings, vector search, hybrid search, metadata filtering, and reranking.
• Define safe usage patterns for AI tools, human-in-the-loop processes, and agent behaviors.
• Support selection and benchmarking of models and frameworks based on quality, cost, latency, maintainability, and security.
• Troubleshoot issues including hallucinations, retrieval errors, latency spikes, cost inefficiencies, and unreliable outputs.
• Develop reliable AI orchestration workflows by integrating LLM APIs and workflow frameworks.
• Implement evaluation, testing, monitoring, and observability mechanisms for AI applications.
• Collaborate with fellow engineers and product or business stakeholders to align technical solutions with requirements.

 
Skills and Competences

• Software engineering best practices
• Backend development
• API design and integration
• Retrieval pipeline design
• AI workflow orchestration
• Observability and monitoring implementation
• AI application evaluation methods
• Security best practices for sensitive data
• Cloud-native application development
• Technical communication of trade-offs
• Cross-functional collaboration
• Pragmatic problem-solving

Qualifications

• 5+ years of software engineering experience
• 1+ year of integrating generative AI or LLM services into applications
• Fluency in English
• Fluency in French or Dutch

 
 
 
 

Compétences linguistiques

• Anglais (atout)

  • Comprendre : Expérimenté - (C1)
  • Écrire : Expérimenté - (C1)
  • Lire : Expérimenté - (C1)
  • Parler : Expérimenté - (C1)

• Français (atout)

  • Comprendre : Indépendant - (B1)
  • Écrire : Indépendant - (B1)
  • Lire : Indépendant - (B1)
  • Parler : Indépendant - (B1)

• Néérlandais (atout)

  • Comprendre : Indépendant - (B1)
  • Écrire : Indépendant - (B1)
  • Lire : Indépendant - (B1)
  • Parler : Indépendant - (B1)

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